REGIONAL WEBGIS USER ACCESS PATTERNS BASED ON A WEIGHTED BIPARTITE NETWORK

REGIONAL WEBGIS USER ACCESS PATTERNS BASED ON A WEIGHTED BIPARTITE NETWORK
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DOI:
10.5194/isprsannals-ii-4-w2-137-2015
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发表时间:
2015-07
期刊:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
影响因子:
--
通讯作者:
R. Li;Y. Shen;W. Huang-;Huayi Wu
R. Li;Y. Shen;W. Huang-;Huayi Wu
中科院分区:
其他
文献类型:
--
作者:
R. Li;Y. Shen;W. Huang-;Huayi Wu

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随着地理信息服务的快速发展,网络地理信息系统(WebGIS)已成为人们日常生活中不可或缺的一部分。相应地,地图搜索引擎已变得非常受用户欢迎,WebGIS 站点也收到了大量的访问请求。这些WebGIS用户和访问的内容具有地域特征;为了了解区域模式,我们基于加权二分网络挖掘了区域 WebGIS 用户访问模式。我们首先为区域用户访问 WebGIS 建立了一个加权二分网络模型。然后,基于海量的用户WebGIS访问日志,对访问的地理信息进行聚类,从而识别出热点访问区域。最后从用户访问渗透率、用户使用率、用户访问粘度等方面定量分析了区域用户的访问兴趣以及区域用户访问这些热点访问区域的访问量特征。研究结果表明,区域用户对WebGIS的访问具有空间聚集性,区域用户访问的热点区域与特定时间段相关。大多数区域用户与热门访问区域的接触是可变的和间歇性的,但对于某些用户来说,他们对某些区域的访问是连续的,因为它与持续或经常性的目标相关。区域用户WebGIS访问的加权二部网络模型为研究WebGIS中的用户行为提供了有效的分析方法,所提出的访问模式表现出区域用户的访问兴趣是时空聚合的并呈现重尾分布。了解用户访问模式有利于WebGIS提供商更好地进行运营决策,也有利于开发人员优化WebGIS系统架构和部署,从而改善用户体验,扩大WebGIS的普及。
With the rapid development of geographic information services, Web Geographic Information Systems (WebGIS) have become an indispensable part of everyday life; correspondingly, map search engines have become extremely popular with users and WebGIS sites receive a massive volume of requests for access. These WebGIS users and the content accessed have regional characteristics; to understand regional patterns, we mined regional WebGIS user access patterns based on a weighted bipartite network. We first established a weighted bipartite network model for regional user access to a WebGIS. Then, based on the massive user WebGIS access logs, we clustered geographic information accessed and thereby identified hot access areas. Finally we quantitatively analyzed the access interests of regional users and the visitation volume characteristics of regional user access to these hot access areas in terms of user access permeability, user usage rate, and user access viscosity. Our research results show that regional user access to WebGIS is spatially aggregated, and the hot access areas that regional users accessed are associated with specific periods of time. Most regional user contact with hot accessed areas is variable and intermittent but for some users, their access to certain areas is continuous as it is associated with ongoing or recurrent objectives. The weighted bipartite network model for regional user WebGIS access provides a valid analysis method for studying user behaviour in WebGIS and the proposed access pattern exhibits access interest of regional user is spatiotemporal aggregated and presents a heavy-tailed distribution. Understanding user access patterns is good for WebGIS providers and supports better operational decision-making, and helpful for developers when optimizing WebGIS system architecture and deployment, so as to improve the user experience and to expand the popularity of WebGIS.